This technology uses a camera to shoot pineapple images, sends the images back to the Intel Core i5 computer for computing, and then issues commands to control peripheral components in real time. For achieving real-time detection of pineapple objects and precise positioning of the plant center, a deep learning recognition model is used for detection. After detecting and locating the plant center, a control command is issued immediately, and the stepping motor performs nozzle positioning control, and quantitatively sprays the flower-activating agent on the center of the pineapple plant.